Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3661
Missing cells	6626
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	632.2 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.9%)	Imbalance
`others` is highly imbalanced (50.1%)	Imbalance
`facing` has 1039 (28.4%) missing values	Missing
`super_built_up_area` has 1786 (48.8%) missing values	Missing
`built_up_area` has 1987 (54.3%) missing values	Missing
`carpet_area` has 1791 (48.9%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095613)	Skewed
`built_up_area` is highly skewed (γ1 = 40.52309524)	Skewed
`carpet_area` is highly skewed (γ1 = 24.32031436)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 459 (12.5%) zeros	Zeros

Reproduction

Analysis started	2025-04-10 13:25:26.870138
Analysis finished	2025-04-10 13:25:43.795221
Duration	16.93 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	247.5 KiB

flat	2818
house	843

Length

Max length	5
Median length	4
Mean length	4.230265
Min length	4

Characters and Unicode

Total characters	15487
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2818	77.0%
house	843	23.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	77.0%
house	843	23.0%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.2%
l	2818	18.2%
a	2818	18.2%
t	2818	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15487	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	2818	18.2%
l	2818	18.2%
a	2818	18.2%
t	2818	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15487	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	2818	18.2%
l	2818	18.2%
a	2818	18.2%
t	2818	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15487	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	2818	18.2%
l	2818	18.2%
a	2818	18.2%
t	2818	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

society
Text

Distinct	675
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	292.7 KiB

Length

Max length	49
Median length	39
Mean length	16.873497
Min length	1

Characters and Unicode

Total characters	61757
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	la vida by tata housing
2nd row	umang monsoon breeze
3rd row	ireo the grand arch
4th row	m3m woodshire
5th row	ambience creacions

Value	Count	Frequency (%)
independent	486	5.0%
the	350	3.6%
dlf	219	2.3%
park	209	2.2%
city	163	1.7%
global	153	1.6%
m3m	152	1.6%
emaar	151	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (783)	7473	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6675	10.8%
	5982	9.7%
a	5840	9.5%
r	4156	6.7%
n	4140	6.7%
t	3703	6.0%
s	3465	5.6%
i	3331	5.4%
l	2929	4.7%
o	2746	4.4%
Other values (32)	18790	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61757	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6675	10.8%
	5982	9.7%
a	5840	9.5%
r	4156	6.7%
n	4140	6.7%
t	3703	6.0%
s	3465	5.6%
i	3331	5.4%
l	2929	4.7%
o	2746	4.4%
Other values (32)	18790	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61757	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6675	10.8%
	5982	9.7%
a	5840	9.5%
r	4156	6.7%
n	4140	6.7%
t	3703	6.0%
s	3465	5.6%
i	3331	5.4%
l	2929	4.7%
o	2746	4.4%
Other values (32)	18790	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61757	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6675	10.8%
	5982	9.7%
a	5840	9.5%
r	4156	6.7%
n	4140	6.7%
t	3703	6.0%
s	3465	5.6%
i	3331	5.4%
l	2929	4.7%
o	2746	4.4%
Other values (32)	18790	30.4%

sector
Text

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	265.7 KiB

Length

Max length	26
Median length	9
Mean length	9.3223163
Min length	7

Characters and Unicode

Total characters	34129
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 113
2nd row	sector 78
3rd row	sector 58
4th row	sector 107
5th row	sector 22

Value	Count	Frequency (%)
sector	3436	46.7%
road	178	2.4%
sohna	166	2.3%
85	108	1.5%
102	107	1.5%
92	100	1.4%
69	93	1.3%
90	89	1.2%
65	87	1.2%
81	87	1.2%
Other values (106)	2899	39.4%

Most occurring characters

Value	Count	Frequency (%)
o	3791	11.1%
	3689	10.8%
s	3681	10.8%
r	3681	10.8%
e	3526	10.3%
c	3487	10.2%
t	3447	10.1%
1	1071	3.1%
0	802	2.3%
8	778	2.3%
Other values (21)	6176	18.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34129	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3791	11.1%
	3689	10.8%
s	3681	10.8%
r	3681	10.8%
e	3526	10.3%
c	3487	10.2%
t	3447	10.1%
1	1071	3.1%
0	802	2.3%
8	778	2.3%
Other values (21)	6176	18.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34129	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3791	11.1%
	3689	10.8%
s	3681	10.8%
r	3681	10.8%
e	3526	10.3%
c	3487	10.2%
t	3447	10.1%
1	1071	3.1%
0	802	2.3%
8	778	2.3%
Other values (21)	6176	18.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34129	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3791	11.1%
	3689	10.8%
s	3681	10.8%
r	3681	10.8%
e	3526	10.3%
c	3487	10.2%
t	3447	10.1%
1	1071	3.1%
0	802	2.3%
8	778	2.3%
Other values (21)	6176	18.1%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
0.95	52	1.4%
2	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.5%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
22222	13	0.4%
6666	13	0.4%
11111	13	0.4%
8333	12	0.3%
7500	12	0.3%
33333	11	0.3%
Other values (2641)	3509	95.8%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1312
Distinct (%)	35.8%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3311

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.25
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.75

Descriptive statistics

Standard deviation	23167.506
Coefficient of variation (CV)	8.0210699
Kurtosis	942.02903
Mean	2888.3311
Median Absolute Deviation (MAD)	533
Skewness	29.730956
Sum	10571292
Variance	5.3673333 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	89.2%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2350
Distinct (%)	64.2%
Missing	0
Missing (%)	0.0%
Memory size	426.5 KiB

Length

Max length	124
Median length	119
Mean length	54.294455
Min length	12

Characters and Unicode

Total characters	198772
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1847 ?
Unique (%)	50.5%

Sample

1st row	Super Built up area 2691(250 sq.m.)Built Up area: 2460 sq.ft. (228.54 sq.m.)Carpet area: 2100 sq.ft. (195.1 sq.m.)
2nd row	Super Built up area 1854(172.24 sq.m.)Built Up area: 1668 sq.ft. (154.96 sq.m.)Carpet area: 1501 sq.ft. (139.45 sq.m.)
3rd row	Carpet area: 2864 (266.07 sq.m.)
4th row	Super Built up area 2361(219.34 sq.m.)
5th row	Carpet area: 3000 (278.71 sq.m.)

Value	Count	Frequency (%)
area	5552	18.5%
sq.m	3639	12.1%
up	3015	10.0%
built	2314	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1183	3.9%
sq.m.)built	699	2.3%
carpet	683	2.3%
plot	667	2.2%
Other values (2842)	8667	28.8%

Most occurring characters

Value	Count	Frequency (%)
	26384	13.3%
.	20321	10.2%
a	13105	6.6%
r	9428	4.7%
e	9297	4.7%
1	9195	4.6%
s	7536	3.8%
q	7405	3.7%
t	7303	3.7%
u	6765	3.4%
Other values (25)	82033	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	198772	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	26384	13.3%
.	20321	10.2%
a	13105	6.6%
r	9428	4.7%
e	9297	4.7%
1	9195	4.6%
s	7536	3.8%
q	7405	3.7%
t	7303	3.7%
u	6765	3.4%
Other values (25)	82033	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	198772	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	26384	13.3%
.	20321	10.2%
a	13105	6.6%
r	9428	4.7%
e	9297	4.7%
1	9195	4.6%
s	7536	3.8%
q	7405	3.7%
t	7303	3.7%
u	6765	3.4%
Other values (25)	82033	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	198772	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	26384	13.3%
.	20321	10.2%
a	13105	6.6%
r	9428	4.7%
e	9297	4.7%
1	9195	4.6%
s	7536	3.8%
q	7405	3.7%
t	7303	3.7%
u	6765	3.4%
Other values (25)	82033	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3477192

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8798873
Coefficient of variation (CV)	0.56154271
Kurtosis	18.507139
Mean	3.3477192
Median Absolute Deviation (MAD)	1
Skewness	3.5006609
Sum	12256
Variance	3.5339764
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.9%
2	941	25.7%
4	659	18.0%
5	200	5.5%
1	124	3.4%
6	73	2.0%
9	40	1.1%
8	30	0.8%
7	28	0.8%
12	27	0.7%
Other values (9)	43	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	941	25.7%
3	1496	40.9%
4	659	18.0%
5	200	5.5%
6	73	2.0%
7	28	0.8%
8	30	0.8%
9	40	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	11	0.3%
14	1	< 0.1%
13	4	0.1%
12	27	0.7%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4127288

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9290253
Coefficient of variation (CV)	0.56524424
Kurtosis	17.902203
Mean	3.4127288
Median Absolute Deviation (MAD)	1
Skewness	3.265409
Sum	12494
Variance	3.7211385
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1076	29.4%
2	1046	28.6%
4	818	22.3%
5	289	7.9%
1	155	4.2%
6	117	3.2%
9	40	1.1%
7	38	1.0%
8	24	0.7%
12	21	0.6%
Other values (9)	37	1.0%

Value	Count	Frequency (%)
1	155	4.2%
2	1046	28.6%
3	1076	29.4%
4	818	22.3%
5	289	7.9%
6	117	3.2%
7	38	1.0%
8	24	0.7%
9	40	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	7	0.2%
14	2	0.1%
13	4	0.1%
12	21	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

3+	1161
3	1073
2	882
1	364
0	181

Length

Max length	2
Median length	1
Mean length	1.3171265
Min length	1

Characters and Unicode

Total characters	4822
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	3
3rd row	3
4th row	3+
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1161	31.7%
3	1073	29.3%
2	882	24.1%
1	364	9.9%
0	181	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2234	61.0%
2	882	24.1%
1	364	9.9%
0	181	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2234	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.5%
0	181	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4822	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2234	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.5%
0	181	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4822	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2234	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.5%
0	181	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4822	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2234	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.5%
0	181	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.8163097

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0191061
Coefficient of variation (CV)	0.88304468
Kurtosis	4.4935142
Mean	6.8163097
Median Absolute Deviation (MAD)	3
Skewness	1.6881491
Sum	24825
Variance	36.229638
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	493	13.5%
2	488	13.3%
1	349	9.5%
4	312	8.5%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.6%

Value	Count	Frequency (%)
0	129	3.5%
1	349	9.5%
2	488	13.3%
3	493	13.5%
4	312	8.5%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1039
Missing (%)	28.4%
Memory size	257.0 KiB

East	621
North-East	621
North	386
West	247
South	231
Other values (3)	516

Length

Max length	10
Median length	5
Mean length	6.8371472
Min length	4

Characters and Unicode

Total characters	17927
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	East
2nd row	North-West
3rd row	North-West
4th row	East
5th row	South-East

Common Values

Value	Count	Frequency (%)
East	621	17.0%
North-East	621	17.0%
North	386	10.5%
West	247	6.7%
South	231	6.3%
North-West	192	5.2%
South-East	171	4.7%
South-West	153	4.2%
(Missing)	1039	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	621	23.7%
north-east	621	23.7%
north	386	14.7%
west	247	9.4%
south	231	8.8%
north-west	192	7.3%
south-east	171	6.5%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3759	21.0%
s	2005	11.2%
o	1754	9.8%
h	1754	9.8%
E	1413	7.9%
a	1413	7.9%
N	1199	6.7%
r	1199	6.7%
-	1137	6.3%
W	592	3.3%
Other values (3)	1702	9.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17927	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	3759	21.0%
s	2005	11.2%
o	1754	9.8%
h	1754	9.8%
E	1413	7.9%
a	1413	7.9%
N	1199	6.7%
r	1199	6.7%
-	1137	6.3%
W	592	3.3%
Other values (3)	1702	9.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17927	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	3759	21.0%
s	2005	11.2%
o	1754	9.8%
h	1754	9.8%
E	1413	7.9%
a	1413	7.9%
N	1199	6.7%
r	1199	6.7%
-	1137	6.3%
W	592	3.3%
Other values (3)	1702	9.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17927	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	3759	21.0%
s	2005	11.2%
o	1754	9.8%
h	1754	9.8%
E	1413	7.9%
a	1413	7.9%
N	1199	6.7%
r	1199	6.7%
-	1137	6.3%
W	592	3.3%
Other values (3)	1702	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	280.2 KiB

Relatively New	1640
New Property	590
Moderately Old	558
Undefined	313
Old Property	302

Length

Max length	18
Median length	14
Mean length	13.367113
Min length	9

Characters and Unicode

Total characters	48937
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Moderately Old
3rd row	Relatively New
4th row	Relatively New
5th row	New Property

Common Values

Value	Count	Frequency (%)
Relatively New	1640	44.8%
New Property	590	16.1%
Moderately Old	558	15.2%
Undefined	313	8.5%
Old Property	302	8.2%
Under Construction	258	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2230	31.8%
relatively	1640	23.4%
property	892	12.7%
old	860	12.3%
moderately	558	8.0%
undefined	313	4.5%
under	258	3.7%
construction	258	3.7%

Most occurring characters

Value	Count	Frequency (%)
e	8402	17.2%
l	4698	9.6%
t	3606	7.4%
	3348	6.8%
y	3090	6.3%
r	2858	5.8%
d	2302	4.7%
N	2230	4.6%
w	2230	4.6%
i	2211	4.5%
Other values (15)	13962	28.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48937	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8402	17.2%
l	4698	9.6%
t	3606	7.4%
	3348	6.8%
y	3090	6.3%
r	2858	5.8%
d	2302	4.7%
N	2230	4.6%
w	2230	4.6%
i	2211	4.5%
Other values (15)	13962	28.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48937	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8402	17.2%
l	4698	9.6%
t	3606	7.4%
	3348	6.8%
y	3090	6.3%
r	2858	5.8%
d	2302	4.7%
N	2230	4.6%
w	2230	4.6%
i	2211	4.5%
Other values (15)	13962	28.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48937	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8402	17.2%
l	4698	9.6%
t	3606	7.4%
	3348	6.8%
y	3090	6.3%
r	2858	5.8%
d	2302	4.7%
N	2230	4.6%
w	2230	4.6%
i	2211	4.5%
Other values (15)	13962	28.5%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1786
Missing (%)	48.8%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	37	1.0%
1650	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
1350	17	0.5%
Other values (583)	1634	44.6%
(Missing)	1786	48.8%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	641
Distinct (%)	38.3%
Missing	1987
Missing (%)	54.3%
Infinite	0
Infinite (%)	0.0%
Mean	2386.1989

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	2
5-th percentile	240.65
Q1	1110.5
median	1650
Q3	2400
95-th percentile	4660.5
Maximum	737147
Range	737145
Interquartile range (IQR)	1289.5

Descriptive statistics

Standard deviation	18026.927
Coefficient of variation (CV)	7.5546621
Kurtosis	1652.6076
Mean	2386.1989
Median Absolute Deviation (MAD)	619.5
Skewness	40.523095
Sum	3994497
Variance	3.2497009 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	32	0.9%
900	28	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (631)	1372	37.5%
(Missing)	1987	54.3%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	732
Distinct (%)	39.1%
Missing	1791
Missing (%)	48.9%
Infinite	0
Infinite (%)	0.0%
Mean	2531.5396

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	845
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	945

Descriptive statistics

Standard deviation	22811.918
Coefficient of variation (CV)	9.0110847
Kurtosis	603.89238
Mean	2531.5396
Median Absolute Deviation (MAD)	470
Skewness	24.320314
Sum	4733979
Variance	5.2038359 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (722)	1576	43.0%
(Missing)	1791	48.9%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.0 KiB

0	2964
1	697

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3661
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2964	81.0%
1	697	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2964	81.0%
1	697	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	2964	81.0%
1	697	19.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2964	81.0%
1	697	19.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2964	81.0%
1	697	19.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2964	81.0%
1	697	19.0%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.0 KiB

0	2342
1	1319

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3661
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2342	64.0%
1	1319	36.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2342	64.0%
1	1319	36.0%

Most occurring characters

Value	Count	Frequency (%)
0	2342	64.0%
1	1319	36.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2342	64.0%
1	1319	36.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2342	64.0%
1	1319	36.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2342	64.0%
1	1319	36.0%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.0 KiB

0	3326
1	335

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3661
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3326	90.8%
1	335	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3326	90.8%
1	335	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3326	90.8%
1	335	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3326	90.8%
1	335	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3326	90.8%
1	335	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3326	90.8%
1	335	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.0 KiB

0	3011
1	650

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3661
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3011	82.2%
1	650	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3011	82.2%
1	650	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3011	82.2%
1	650	17.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3011	82.2%
1	650	17.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3011	82.2%
1	650	17.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3011	82.2%
1	650	17.8%

others
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.0 KiB

0	3259
1	402

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3661
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3259	89.0%
1	402	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3259	89.0%
1	402	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3259	89.0%
1	402	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3259	89.0%
1	402	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3259	89.0%
1	402	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3259	89.0%
1	402	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.0 KiB

0	2403
2	1055
1	203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3661
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
0	2403	65.6%
2	1055	28.8%
1	203	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2403	65.6%
2	1055	28.8%
1	203	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	2403	65.6%
2	1055	28.8%
1	203	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2403	65.6%
2	1055	28.8%
1	203	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2403	65.6%
2	1055	28.8%
1	203	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2403	65.6%
2	1055	28.8%
1	203	5.5%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.544387

Minimum	0
Maximum	174
Zeros	459
Zeros (%)	12.5%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.062737
Coefficient of variation (CV)	0.74167576
Kurtosis	-0.87973169
Mean	71.544387
Median Absolute Deviation (MAD)	38
Skewness	0.45928832
Sum	261924
Variance	2815.6541
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	459	12.5%
49	347	9.5%
174	195	5.3%
44	60	1.6%
165	55	1.5%
38	55	1.5%
72	52	1.4%
60	47	1.3%
42	45	1.2%
37	45	1.2%
Other values (151)	2301	62.9%

Value	Count	Frequency (%)
0	459	12.5%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	42	1.1%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	27	0.7%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.271	0.110	0.129	0.000	0.000	0.092	0.127	0.214	0.254	0.106	0.187	0.102	0.055	0.391	0.286	0.142	0.134	0.086
area	0.000	1.000	0.011	0.687	0.624	0.835	0.801	0.022	0.116	0.043	0.259	0.042	0.037	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.271	0.011	1.000	0.224	0.174	0.000	0.026	0.016	0.079	0.178	0.224	0.080	0.194	0.136	0.033	0.212	0.439	0.144	0.180	0.306
bathroom	0.110	0.687	0.224	1.000	0.862	0.486	0.604	0.039	-0.003	0.196	0.180	0.064	0.284	0.720	0.411	0.469	0.519	0.244	0.170	0.819
bedRoom	0.129	0.624	0.174	0.862	1.000	0.397	0.574	0.029	-0.100	0.167	0.058	0.073	0.288	0.681	0.417	0.592	0.316	0.224	0.148	0.800
built_up_area	0.000	0.835	0.000	0.486	0.397	1.000	0.969	1.000	0.090	0.089	0.294	0.000	0.000	0.605	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.604	0.574	0.969	1.000	0.000	0.157	0.000	0.239	0.017	0.000	0.613	0.136	0.000	0.000	0.000	0.004	0.894
facing	0.092	0.022	0.016	0.039	0.029	1.000	0.000	1.000	0.000	0.049	0.065	0.000	0.032	0.021	0.000	0.093	0.035	0.037	0.000	0.000
floorNum	0.127	0.116	0.079	-0.003	-0.100	0.090	0.157	0.000	1.000	0.019	0.232	0.033	0.101	0.001	-0.126	0.482	0.086	0.111	0.076	0.152
furnishing_type	0.214	0.043	0.178	0.196	0.167	0.089	0.000	0.049	0.019	1.000	0.244	0.057	0.216	0.176	0.023	0.079	0.271	0.155	0.140	0.133
luxury_score	0.254	0.259	0.224	0.180	0.058	0.294	0.239	0.065	0.232	0.244	1.000	0.175	0.187	0.215	0.054	0.330	0.346	0.229	0.180	0.222
others	0.106	0.042	0.080	0.064	0.073	0.000	0.017	0.000	0.033	0.057	0.175	1.000	0.028	0.034	0.036	0.024	0.000	0.106	0.026	0.084
pooja room	0.187	0.037	0.194	0.284	0.288	0.000	0.000	0.032	0.101	0.216	0.187	0.028	1.000	0.334	0.043	0.250	0.249	0.305	0.309	0.157
price	0.102	0.744	0.136	0.720	0.681	0.605	0.613	0.021	0.001	0.176	0.215	0.034	0.334	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	0.055	0.207	0.033	0.411	0.417	0.132	0.136	0.000	-0.126	0.023	0.054	0.036	0.043	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.391	0.028	0.212	0.469	0.592	0.000	0.000	0.093	0.482	0.079	0.330	0.024	0.250	0.543	0.201	1.000	0.062	0.241	0.123	1.000
servant room	0.286	0.015	0.439	0.519	0.316	0.000	0.000	0.035	0.086	0.271	0.346	0.000	0.249	0.369	0.044	0.062	1.000	0.159	0.181	0.584
store room	0.142	0.039	0.144	0.244	0.224	0.000	0.000	0.037	0.111	0.155	0.229	0.106	0.305	0.303	0.000	0.241	0.159	1.000	0.226	0.046
study room	0.134	0.018	0.180	0.170	0.148	0.000	0.004	0.000	0.076	0.140	0.180	0.026	0.309	0.244	0.030	0.123	0.181	0.226	1.000	0.121
super_built_up_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.000	0.152	0.133	0.222	0.084	0.157	0.772	0.287	1.000	0.584	0.046	0.121	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	la vida by tata housing	sector 113	3.00	14285.0	2100.0	Super Built up area 2691(250 sq.m.)Built Up area: 2460 sq.ft. (228.54 sq.m.)Carpet area: 2100 sq.ft. (195.1 sq.m.)	3	3	3+	3.0	East	Relatively New	2691.0	2460.0	2100.0	0	1	0	0	0	0	167
1	flat	umang monsoon breeze	sector 78	0.88	4746.0	1854.0	Super Built up area 1854(172.24 sq.m.)Built Up area: 1668 sq.ft. (154.96 sq.m.)Carpet area: 1501 sq.ft. (139.45 sq.m.)	3	4	3	8.0	North-West	Moderately Old	1854.0	1668.0	1501.0	0	1	0	1	0	0	111
2	flat	ireo the grand arch	sector 58	4.85	16934.0	2864.0	Carpet area: 2864 (266.07 sq.m.)	4	5	3	23.0	North-West	Relatively New	NaN	NaN	2864.0	1	1	0	1	1	2	49
3	flat	m3m woodshire	sector 107	1.49	6310.0	2361.0	Super Built up area 2361(219.34 sq.m.)	3	4	3+	5.0	East	Relatively New	2361.0	NaN	NaN	0	1	1	0	0	2	174
4	flat	ambience creacions	sector 22	6.16	20533.0	3000.0	Carpet area: 3000 (278.71 sq.m.)	4	5	3+	10.0	South-East	New Property	NaN	NaN	3000.0	0	1	0	1	0	2	49
5	flat	godrej aria	sector 79	1.45	9062.0	1600.0	Super Built up area 1495(138.89 sq.m.)Built Up area: 1494 sq.ft. (138.8 sq.m.)	2	2	3+	9.0	East	Relatively New	1495.0	1494.0	NaN	1	0	0	0	0	0	113
6	flat	tulip violet	sector 69	1.55	9822.0	1578.0	Super Built up area 1578(146.6 sq.m.)	3	3	2	9.0	North-East	Relatively New	1578.0	NaN	NaN	0	0	0	1	0	2	165
7	flat	smart world gems	sector 89	1.20	8432.0	1423.0	Carpet area: 1423 (132.2 sq.m.)	3	3	2	2.0	North-East	New Property	NaN	NaN	1423.0	0	0	0	0	0	0	44
8	flat	kiran residency	sector 56	1.55	7750.0	2000.0	Super Built up area 2000(185.81 sq.m.)	3	3	3	5.0	North	Old Property	2000.0	NaN	NaN	0	1	0	0	0	2	52
9	house	emaar mgf marbella	sector 66	12.00	38095.0	3150.0	Plot area 350(292.64 sq.m.)	5	6	3+	3.0	North-East	Relatively New	NaN	3150.0	NaN	0	1	1	0	0	2	153

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
3788	house	Independent	sector 25	13.50	37313.0	3618.0	Plot area 402(336.12 sq.m.)	5	6	3+	4.0	North-East	Old Property	NaN	3618.0	NaN	0	0	0	0	1	2	79
3789	house	greenopolis	sector 89	0.70	5397.0	1297.0	Built Up area: 1297 (120.5 sq.m.)	2	2	2	14.0	North-East	Undefined	NaN	1297.0	NaN	0	0	0	0	0	0	0
3791	flat	emaar digihomes	sector 62	2.10	14254.0	1473.0	Super Built up area 1508.26(140.12 sq.m.)	2	2	2	30.0	North	New Property	1508.26	NaN	NaN	0	1	0	0	0	0	52
3792	flat	dlf new town heights	sector 90	1.80	6600.0	2727.0	Super Built up area 2727(253.35 sq.m.)	4	4	3+	23.0	NaN	Moderately Old	2727.00	NaN	NaN	0	0	0	0	0	0	67
3793	house	international city by sobha phase 2	sector 109	8.48	23556.0	3600.0	Plot area 400(334.45 sq.m.)	4	6	3+	3.0	North-East	New Property	NaN	3600.0	NaN	1	1	1	1	0	0	153
3794	flat	signature global park 4	sector 36	1.00	9900.0	1010.0	Carpet area: 1010 (93.83 sq.m.)	3	2	3	2.0	NaN	New Property	NaN	NaN	1010.0	0	0	0	0	0	0	128
3795	house	suncity essel towers	sector 28	6.00	22222.0	2700.0	Plot area 300(250.84 sq.m.)	4	4	3+	3.0	East	Old Property	NaN	2700.0	NaN	1	0	0	0	0	2	89
3796	flat	sobha city	sector 108	4.10	23401.0	1752.0	Super Built up area 2344(217.76 sq.m.)Built Up area: 2343 sq.ft. (217.67 sq.m.)Carpet area: 1752 sq.ft. (162.77 sq.m.)	4	5	3	25.0	North-East	New Property	2344.00	2343.0	1752.0	1	1	0	0	0	1	97
3797	flat	vatika emilia floors	sector 83	0.60	5714.0	1050.0	Super Built up area 1050(97.55 sq.m.)Built Up area: 990 sq.ft. (91.97 sq.m.)Carpet area: 950 sq.ft. (88.26 sq.m.)	2	2	2	1.0	South	Relatively New	1050.00	990.0	950.0	0	0	0	0	0	2	167
3798	flat	dlf new town heights	sector 90	1.55	6556.0	2364.0	Super Built up area 2364(219.62 sq.m.)	4	4	3+	1.0	South-East	Relatively New	2364.00	NaN	NaN	0	1	0	1	0	0	81

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script